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Evolutionary computing for the design search and optimization of space vehicle power subsystems

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dc.contributor.author Kordon, M.
dc.contributor.author Klimeck, G.
dc.contributor.author Hanks, D.
dc.date.accessioned 2004-11-10T16:02:51Z
dc.date.available 2004-11-10T16:02:51Z
dc.date.issued 2004-03-06 en_US
dc.identifier.citation 2004 IEEE Aerospace Conference en_US
dc.identifier.citation Big Sky, Montana, USA en_US
dc.identifier.clearanceno 03-2763 en_US
dc.identifier.uri http://hdl.handle.net/2014/37351
dc.description.abstract Evolutionary computing has proven to be a straightforward and robust approach for optimizing a wide range of difficult analysis and design problems. This paper discusses the application of these techniques to an existing space vehicle power subsystem resource and performance analysis simulation in a parallel processing environment. en_US
dc.format.extent 3587917 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other evolutionary computing genetic algorithms optimization power en_US
dc.title Evolutionary computing for the design search and optimization of space vehicle power subsystems en_US


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